Provides basic ideas and results of distribution theory and its
applications to Fourier analysis and partial differential equations.
Examples are provided to illustrate the concepts; exercises of various
level of difficulty are given. Important topics covered like basic
properties of distributions, convolution, Fourier transforms, Sobolev
spaces, weak solutions, distributions on locally convex spaces and on
differentiable manifolds.